Robustness Analysis of a Memristive Crossbar PUF Against Modeling Attacks

Uddin, Mesbah; Majumder, Md. Badruddoja; Rose, Garrett S.

doi:10.1109/tnano.2017.2677882

Cited by 62 publications

(34 citation statements)

References 25 publications

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“…Having been implemented with a nominally symmetric layout, the PUF outputs are likely to change from time to time (i.e., poor reliability) [6] when the fluctuation caused by operating conditions and thermal noise is greater than or close to the manufacturing mismatch. The conventional method to improve PUF reliability is based on the use of error correction codes (ECC), while the approach significantly increases the complexity and cost of the design, and worse, the correcting code could reveal some important information.…”

Section: Introductionmentioning

confidence: 99%

A highly reliable butterfly PUF in SRAM-based FPGAs

Liang

Huang

et al. 2017

IEICE Electron. Express

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This paper presents a butterfly physically unclonable function (PUF) implementation in SRAM-based field programmable gate arrays (FPGAs). To avoid output instability, we propose a delay difference test to identify reliable slices (mapped to which butterfly PUF cells are highly reliable) and then PUF reliability is significantly improved by selective mapping PUF cells to reliable slices, which is validated in experimental results.

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Section: Introductionmentioning

confidence: 99%

A highly reliable butterfly PUF in SRAM-based FPGAs

Liang

Huang

et al. 2017

IEICE Electron. Express

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“…Another work expands on this (Uddin et al 2017). Based on that work, we have found the modeling accuracy for a column swapping XbarPUF to be ≈65%, less than with XORed XbarPUF where accuracy is roughly 77% or for the intrinsic XbarPUF that can be modeled with an accuracy of 99% (Uddin et al 2017). This result suggests that both XORing and column swapping provide increased robustness against modeling attacks over the intrinsic XbarPUF.…”

Section: Results Analyses and Discussionmentioning

confidence: 91%

“…We have evaluated the prediction accuracy of each variation of XbarPUF against well-known machine learning algorithms. Another work expands on this (Uddin et al 2017). Based on that work, we have found the modeling accuracy for a column swapping XbarPUF to be ≈65%, less than with XORed XbarPUF where accuracy is roughly 77% or for the intrinsic XbarPUF that can be modeled with an accuracy of 99% (Uddin et al 2017).…”

Section: Results Analyses and Discussionmentioning

confidence: 95%

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2018

JETC

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Hardware security has emerged as a field concerned with issues such as integrated circuit (IC) counterfeiting, cloning, piracy, and reverse engineering. Physical unclonable functions (PUF) are hardware security primitives useful for mitigating such issues by providing hardware-specific fingerprints based on intrinsic process variations within individual IC implementations. As technology scaling progresses further into the nanometer region, emerging nanoelectronic technologies, such as memristors or RRAMs (resistive random-access memory), have become interesting options for emerging computing systems. In this article, using a comprehensive temperature dependent model of an HfO x (hafnium-oxide) memristor, based on experimental measurements, we explore the best region of operation for a memristive crossbar PUF (XbarPUF). The design considered also employs XORing and a column shuffling technique to improve reliability and resilience to machine learning attacks. We present a detailed analysis for the noise margin and discuss the scalability of the XbarPUF structure. Finally, we present results for estimates of area, power, and delay alongside security performance metrics to analyze the strengths and weaknesses of the XbarPUF. Our XbarPUF exhibits nearly ideal (near 50%) uniqueness, bit-aliasing and uniformity, good reliability of 90% and up (with 100% being ideal), a very small footprint, and low average power consumption ≈104μW.

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“…The set of CRPs is considered as the unique property that distinguishes itself from other PUFs [1][2][3]. To date, there are a several PUF types being researched like the bistable ring PUF [8], the arbiter PUF [1][2][3], the SRAM PUF [9][10][11], crossbar array PUF [12][13][14][15], and the ring oscillator PUF (ROPUF) [5,[16][17][18][19], which is the type of PUF taken into discussion for this research.…”

Section: Introduction 1physically Unclonable Functionmentioning

confidence: 99%

Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

Teo¹,

Hashim²,

Ghazali³

et al. 2019

IJEECS

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<span>The ring oscillator physically unclonable function (ROPUF) is one of the several types of PUF that has great potential to be used for security purposes. An alternative ROPUF design is proposed with two major differences. Firstly, the memristor is included in the ring oscillators as it is claimed to produce a more random oscillation frequency. Other reasons are its memory-like properties and variable memristance, relative compatibility with CMOS, and small size. Secondly, a different method of generating the response is implemented whereby a sequence of selection of ring oscillator pairs are used to generate a multiple bit response, rather than using only one ring oscillator pair to generate a single bit response. This method significantly expands the set of challenge-response pairs. The proposed memristor-based ROPUF shows 48.57%, 51.43%, and 51.43% for uniqueness, uniformity, and bit-aliasing, respectively. Also, modelling by support vector machine (SVM) on the proposed memristor-based ROPUF only shows 61.95% accuracy, thereby indicating strong resistance against SVM.</span>

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Robustness Analysis of a Memristive Crossbar PUF Against Modeling Attacks

Cited by 62 publications

References 25 publications

A highly reliable butterfly PUF in SRAM-based FPGAs

A highly reliable butterfly PUF in SRAM-based FPGAs

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Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs

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